{"id":"W6967611301","doi":"10.5255/ukda-sn-5465-2","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2005","year":2014,"lang":"en","type":"other","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Work (physics); Sample (material); Survey data collection; Northern ireland; Data collection; Work force; Data source","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001877542,0.001008523,0.001411763,0.003005237,0.0007592635,0.001611838,0.00177344,0.0009405979,0.06066929],"category_scores_gemma":[0.009277572,0.0005945307,0.0006708433,0.00661512,0.0001606114,0.00101554,0.001025328,0.001487916,0.0687955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984818,"about_ca_system_score_gemma":0.003764266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1286802,"about_ca_topic_score_gemma":0.1471273,"domain_scores_codex":[0.998597,0.000222227,0.0002515315,0.0002669003,0.0004564431,0.0002059987],"domain_scores_gemma":[0.9962352,0.0004088971,0.0004261108,0.0002977966,0.002414504,0.000217472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004430493,0.0000217719,0.002298696,0.0002319471,0.00002050035,0.00001527753,0.00004559324,0.0000913276,0.00001155939,0.0002984396,0.9925752,0.004345512],"study_design_scores_gemma":[0.0004056301,0.00007862689,0.1145387,0.0006680361,0.00007993648,0.00008583869,0.0006571531,0.0003703204,0.00008721715,0.0006918025,0.882291,0.00004573503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004628605,0.0001207001,0.00009292294,0.0001514342,0.00006640574,0.00009308472,0.9967049,0.00006617713,0.002241526],"genre_scores_gemma":[0.002068685,0.0002787539,0.000302605,0.0002119877,0.00004703358,0.0005855294,0.989831,0.0000317543,0.006642622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1286802,"threshold_uncertainty_score":0.2558625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04864503633845093,"score_gpt":0.2826762168445961,"score_spread":0.2340311805061452,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}